Regression and progression in stochastic domains-Reference-Cited by-同舟云学术

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Regression and progression in stochastic domains

Published:2020-04 Issue: Volume:281 Page:103247
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Belle Vaishak,Levesque Hector J.

Funder

Royal Society

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference77 articles.

1. Representing and Reasoning with Probabilistic Knowledge;Bacchus,1990

2. Reasoning about noisy sensors and effectors in the situation calculus;Bacchus;Artif. Intell.,1999

3. Epistemic planning (Dagstuhl Seminar 17231);Baral;Dagstuhl Rep.,2017

4. A semantical account of progression in the presence of uncertainty;Belle,2011

5. Reasoning about probabilities in unbounded first-order dynamical domains;Belle,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the progression of belief;Artificial Intelligence;2023-09

2. Epistemic planning: Perspectives on the special issue;Artificial Intelligence;2023-03

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